TRIP: a traffic residual-life and intensity prediction-based routing algorithm

A traffic residual-life and intensity prediction based routing algorithm, TRIP, is proposed in power distribution communication network. Experiment results demonstrate the effectiveness of the proposed method, which can reduce the network blocking ratio.

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Publication Details

Published
2025-02-20
DOI
https://doi.org/10.1117/12.3058979
Primary Topic
Network Traffic and Congestion Control
Type
article
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article

TRIP: a traffic residual-life and intensity prediction-based routing algorithm

Li-Yun Yang Liang-Gui Zhang, chunju zhang, Xiang Zhang, Feng Wang et al.
Network Traffic and Congestion Control
article

TRIP: a traffic residual-life and intensity prediction-based routing algorithm

Li-Yun Yang Liang-Gui Zhang, chunju zhang, Xiang Zhang, Feng Wang, Yuan Zhao, Yuheng Jing
article en

Abstract

A traffic residual-life and intensity prediction based routing algorithm, TRIP, is proposed in power distribution communication network. Experiment results demonstrate the effectiveness of the proposed method, which can reduce the network blocking ratio.

Electric Power Research Institute (US), Beijing University of Posts and Telecommunications (CN)
Openalex Percentile: Top 97%
Network Traffic and Congestion Control
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